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Build and maintain scalable eCommerce data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and intelligent commerce experiences across Latin America.
Build and maintain scalable data pipelines and analytics solutions to power AI/ML initiatives and business decisions using Python, SQL, and PySpark.
Lead public health data integration and interoperability projects for CDC, modernizing legacy systems to cloud-based analytics using Python, R, Databricks, and Azure.
Build and maintain scalable software, data pipelines, and automation solutions in Python and SQL to support Amgen’s drug R&D and commercialization, using cloud platforms like AWS and Databricks.
Design and operate scalable eCommerce data pipelines using Azure Databricks, PySpark, and SQL to integrate high-volume platforms and deliver analytics-ready data products for Latin American markets.
Skills and Competencies 6+ years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and…
Lead a team building AI-driven security automation platforms using LLMs, RAG, and agentic workflows to detect and respond to cyber threats at enterprise scale.
Lead enterprise AI transformation by architecting, modernizing, and delivering Oracle AI Data Platform solutions for large customers, focusing on scalable data platforms, GenAI, and migration of legacy systems.
Build and deploy AI-driven security automation platforms using LLMs, RAG, and agentic workflows in AWS/Azure/GCP to detect and respond to cyber threats.
Build and maintain scalable data pipelines using Databricks, Kafka, and Delta Lake to power digital twin platforms, real-time systems, and AI workloads.
System Data Scientist Location: Stockholm,Stockholm,Sweden Department: 76 Product Development Work Location: hybrid Join our Team About this opportunity: The RAN System Management & Architecture sector leads and…
Azure Data Engineer Location: Bangalore, Karnataka, India, Hyderabad, Telangana, India Department: Tech Delivery Work Location: hybrid Arcadis is the world's leading company delivering sustainable design,…
Build and maintain scalable data pipelines on Databricks using PySpark/Scala, focusing on Delta Lake, streaming, and cloud integration (Azure/AWS/GCP) for clients across finance, retail, mobility, and other sectors.
Design and implement enterprise-scale data architectures and generative AI solutions, leading teams to build cloud-native lakehouses, real-time pipelines, and autonomous AI systems for Fortune 2000 clients.
Build and maintain cloud-native Java/Python microservices on Azure while using AI tools to automate coding, testing, and DevOps tasks to boost engineering productivity.
THE POSITION Our roster has an opening with your name on it We are looking for an experienced analytics leader to manage our Fraud, Payments & Operations Analytics team, working with partners across FanDuel to…
Senior Data Engineer designs and builds scalable data pipelines using Databricks, PySpark, and cloud platforms (AWS/Azure) for enterprise clients, while leading projects and mentoring junior engineers.
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Analyze, validate, and transform large datasets; build batch and streaming data pipelines; optimize queries and processes; collaborate on data models and Data Lake design using SQL, Python, Spark, Kafka, and related tools.
Build and maintain AI-ready data pipelines and platforms for a global real-estate operator, integrating property, financial, and IoT data to power analytics and LLM tools across the business.
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